5 citations · 6 across the 9 of their papers we have counts for
4 papers · 1 filter
Agent Status Protocol (ASP): A Lightweight Specification for State Reporting in Multi-Agent Systems
Diego Gosmar, Deborah A. Dahl, Emmett Coin +2
The Agent Status Protocol (ASP) defines a lightweight way for heterogeneous AI agents to report their operational state to a status server, and for observers such as dashboards to…
MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop
Diego Gosmar, Giovanni Zenezini
Document processing automation remains a critical challenge in enterprise environments, where traditional manual approaches are labor-intensive and error-prone. We present MADP, a…
Hallucination Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
Diego Gosmar, Deborah A. Dahl
This paper describes an approach to hallucination detection and mitigation using a HOPE-inspired Nested Learning architecture with Continuum Memory Systems (CMS) and semantic simil…
Prompt Injection Mitigation with Agentic AI, Nested Learning, and AI Sustainability via Semantic Caching
Diego Gosmar, Deborah A. Dahl
Prompt injection remains a central obstacle to the safe deployment of large language models, particularly in multi-agent settings where intermediate outputs can propagate or amplif…